{"count": 1, "jobs": [{"availability": "listed", "category": "or", "employer": "Allegiant", "first_seen": "2026-10-10T19:04:44.060446+00:00", "id": "cfcd5e0b-2e3c-44d7-9702-99e9e8ca49e3", "last_verified": "2026-10-10T19:04:48.995156+00:00", "location": "Las Vegas, NV; Minneapolis, MN", "locations": ["Las Vegas, NV", "Minneapolis, MN"], "posted_date": null, "revision": "e95052f5b6b311c4c6765a2618737079d97504e233293f34bed33380e8eb7186", "summary": "This role formulates airline commercial decision problems into quantitative optimization models and builds/improves them within Python-based decision support systems. It also evaluates model features and parameter changes via back-testing, controlled experiments, or simulation, and supports production decision tools end-to-end.", "tags": {"application": {"scheduling": "plausible"}, "industry": {}, "method": {"integer": "plausible", "reinforcement": "plausible", "stochastic": "plausible"}}, "title": "Optimization Engineer – Commercial", "url": "https://jobs.lever.co/allegiantair/f3650a2f-7122-4d36-86a2-ef8bd52cd9a4"}], "next": null, "note": "Disappearance from filtered results does not prove a job is closed.", "page": 1, "poll_after_seconds": 86400, "schema_version": 2}